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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 571–580 of 1773 papers

TitleStatusHype
Active Learning Approaches to Enhancing Neural Machine Translation—0
D-PAGE: Diverse Paraphrase Generation—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
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